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Tensor Robust Principal Component Analysis with A New Tensor Nuclear
  Norm

Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm

10 April 2018
Canyi Lu
Jiashi Feng
Yudong Chen
Wen Liu
Zhouchen Lin
Shuicheng Yan
ArXivPDFHTML

Papers citing "Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm"

22 / 22 papers shown
Title
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm
Yihang Lu
Mahwish Yousaf
Xianwei Meng
Enhong Chen
55
0
0
29 Mar 2025
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
Yinghao Zhang
Haiyan Gui
Ningdi Yang
Yue Hu
78
0
0
17 Feb 2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Lanlan Feng
Ce Zhu
Yipeng Liu
Saiprasad Ravishankar
Longxiu Huang
51
0
0
20 Jan 2025
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
Bo Han
Yuheng Jia
Hui Liu
Junhui Hou
40
0
0
24 Oct 2024
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging
Wenxin Fan
Jian Cheng
Qiyuan Tian
Xinrui Ma
Jing Yang
J. Zou
Shanshan Wang
MedIm
51
1
0
06 May 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu
Zhi Han
Yandong Tang
Xi-Le Zhao
Yao Wang
62
1
0
22 Jan 2024
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted
  Low-Rank Tensors via Convex Optimization
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
Canyi Lu
Jiashi Feng
Yudong Chen
Wen Liu
Zhouchen Lin
Shuicheng Yan
28
482
0
14 Aug 2017
Tensor SVD: Statistical and Computational Limits
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
42
167
0
08 Mar 2017
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling
Maria-Florina Balcan
Hongyang R. Zhang
94
37
0
01 Dec 2016
Homotopy Analysis for Tensor PCA
Homotopy Analysis for Tensor PCA
Anima Anandkumar
Yuan-bei Deng
Rong Ge
H. Mobahi
44
43
0
28 Oct 2016
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse
  Perturbations
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Anima Anandkumar
Prateek Jain
Yang Shi
U. Niranjan
50
83
0
15 Oct 2015
Exact tensor completion using t-SVD
Exact tensor completion using t-SVD
Zemin Zhang
Shuchin Aeron
39
555
0
16 Feb 2015
Generalized Singular Value Thresholding
Generalized Singular Value Thresholding
Canyi Lu
Changbo Zhu
Chunyan Xu
Shuicheng Yan
Zhouchen Lin
42
205
0
06 Dec 2014
Novel methods for multilinear data completion and de-noising based on
  tensor-SVD
Novel methods for multilinear data completion and de-noising based on tensor-SVD
Zemin Zhang
G. Ely
Shuchin Aeron
Ning Hao
M. Kilmer
72
690
0
07 Jul 2014
Linearized Alternating Direction Method with Parallel Splitting and
  Adaptive Penalty for Separable Convex Programs in Machine Learning
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Zhouchen Lin
Risheng Liu
Zhixun Su
30
193
0
18 Oct 2013
Incoherence-Optimal Matrix Completion
Incoherence-Optimal Matrix Completion
Yudong Chen
86
205
0
01 Oct 2013
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu
Bo Huang
John N. Wright
D. Goldfarb
82
307
0
22 Jul 2013
Tensor-based formulation and nuclear norm regularization for
  multi-energy computed tomography
Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography
O. Semerci
Ning Hao
M. Kilmer
Eric L. Miller
MedIm
37
350
0
19 Jul 2013
A New Convex Relaxation for Tensor Completion
A New Convex Relaxation for Tensor Completion
Bernardino Romera-Paredes
Massimiliano Pontil
37
179
0
17 Jul 2013
Fixed-Rank Representation for Unsupervised Visual Learning
Fixed-Rank Representation for Unsupervised Visual Learning
Risheng Liu
Zhouchen Lin
Fernando de la Torre
Zhixun Su
CML
SSL
45
161
0
09 Mar 2012
Robust Recovery of Subspace Structures by Low-Rank Representation
Robust Recovery of Subspace Structures by Low-Rank Representation
Guangcan Liu
Zhouchen Lin
Shuicheng Yan
Ju Sun
Yong Yu
Yi-An Ma
80
3,211
0
14 Oct 2010
Estimation of low-rank tensors via convex optimization
Estimation of low-rank tensors via convex optimization
Ryota Tomioka
K. Hayashi
H. Kashima
107
208
0
05 Oct 2010
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